Datasets:
File size: 1,060 Bytes
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configs:
- config_name: raw
default: true
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Mature
'1': Over-mature
'2': Under-mature
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- n<1K
---
# Okra Maturity Classification
A dataset for maturity classification of okra.
The dataset contains 364 images.
Images per class:
- Mature: 132
- Over-mature: 100
- Under-mature: 132
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
## Citation
```bibtex
@article{bharathi2025rgb,
title={RGB image dataset for okra maturity classification to enhance agricultural quality and market readiness},
author={Bharathi, Nikhilesh Kumar and Fj, Ferbin and others},
journal={Data in Brief},
pages={111982},
year={2025},
publisher={Elsevier}
}
```
Bharathi, Nikhilesh Kumar; FJ, Ferbin ; Sivapatham, Shoba (2025), “Okra Image Dataset”, Mendeley Data, V1, doi: 10.17632/jmhz4826f2.1 |